A cognitive bias is a pattern of deviation in judgment that occurs in particular situations. Implicit in the concept of a "pattern of deviation" is a standard of comparison; this may be the judgment of people outside those particular situations, or may be a set of independently verifiable facts. The existence of some of these cognitive biases has been verified empirically in the field of psychology.

On a moment-by-moment basis we are faced with an environment that is in a continual state of flux, changing over time and space. Coherent and adaptive behavior in this complex environment is supported by the interplay of a variety of sensory, perceptual and cognitive systems. Attention provides a powerful coping mechanism that mediates the selective processing of information that is consistent with our current behavioral goals and intentions. The purpose of the research conducted in our lab is to clarify the perceptual, cognitive, and neural mechanisms of selective attention.

"At TEDxPeachtree, bioethicist Paul Root Wolpe describes an astonishing series of recent bio-engineering experiments, from hybrid pets to mice that grow human ears. He asks: isn't it time to set some ground rules?"

"The Laboratory for Intelligent Imaging and Neural Computing (LIINC) was founded in September 2000 by Paul Sajda. The mission of LIINC is to study fundamental processing strategies and representations used by biological vision systems and apply these to develop artificial vision systems capable of sophisticated and adaptive image and scene analysis. Our laboratory pursues both basic and applied neuroscience research projects, with emphasis in the following:

Network models for visual processing
Neuroimaging
Statistical representation of natural signals
Machine Learning"

Neuromatters is a neurotechnology research & development company designing and building neural signal processing and brain-computer interface systems for capturing and decoding brain activity. Founded by recognized neuroengineering and machine learning experts, Neuromatters' goal is to evolve brain-computer interface systems into application areas where information overload is prevalent.